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Mastering JavaScript Functional Programming

You're reading from   Mastering JavaScript Functional Programming Write clean, robust, and maintainable web and server code using functional JavaScript and TypeScript

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Product type Paperback
Published in Apr 2023
Publisher Packt
ISBN-13 9781804610138
Length 614 pages
Edition 3rd Edition
Languages
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Author (1):
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Federico Kereki Federico Kereki
Author Profile Icon Federico Kereki
Federico Kereki
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Toc

Table of Contents (17) Chapters Close

Preface 1. Chapter 1: Becoming Functional – Several Questions 2. Chapter 2: Thinking Functionally – A First Example FREE CHAPTER 3. Chapter 3: Starting Out with Functions – A Core Concept 4. Chapter 4: Behaving Properly – Pure Functions 5. Chapter 5: Programming Declaratively – A Better Style 6. Chapter 6: Producing Functions – Higher-Order Functions 7. Chapter 7: Transforming Functions – Currying and Partial Application 8. Chapter 8: Connecting Functions – Pipelining, Composition, and More 9. Chapter 9: Designing Functions – Recursion 10. Chapter 10: Ensuring Purity – Immutability 11. Chapter 11: Implementing Design Patterns – The Functional Way 12. Chapter 12: Building Better Containers – Functional Data Types 13. Answers to Questions 14. Bibliography
15. Index 16. Other Books You May Enjoy

Questions

4.1 Must return?A simple, almost philosophical question: must pure functions always return something? Could you have a pure function that doesn’t return anything?

4.2 Well-specified return: What would have happened if we had added the return type definition to maxStrings()?

const maxStrings = (a: string[]): string => a.sort().pop();

4.3 Go for a closure: As suggested in the Memoization section, use a closure to avoid needing a global cache array for the optimized fib2() function.

4.4 Minimalistic function: Functional programmers sometimes write code in a minimalistic way. Can you examine the following version of the Fibonacci function and explain whether it works, and if so, how?

// fibonacci.ts
const fib3 = (n: number): number =>
  n < 2 ? n : fib2(n - 2) + fib2(n - 1);

4.5 A cheaper way: The following version of the Fibonacci function is quite efficient, doesn’t require memoization or caching, and doesn’t require...

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